Aparna Ramani, Meta's VP of Engineering for AI Infrastructure, announced her departure April 14 after nearly a decade. Two days later, Meta published its Capacity Efficiency agent platform post, describing how senior engineers' expertise gets encoded into composable AI skills for optimization at hyperscale.
The timing is coincidental. What it surfaces is not. An agent preserves the pattern but not the judgment about when the pattern should change.
Meta's 2026 capex projection sits at $60-65 billion. Turning that hardware into production AI requires institutional knowledge that accumulates over years and leaves in an afternoon.